Early Identification of the Jiangdingya Landslide of Zhouqu Based on SBAS-InSAR Technology

SBAS-InSAR technology is characterized by the advantages of reducing the influence of terrain-simulation error, time-space decorrelation, atmospheric error, thereby improving the reliability of surface-deformation monitoring. This paper studies the early landslide identification method based on SBAS-InSAR technology. Selecting the Jiangdingya landslide area in Zhouqu County, Gansu Province as the research area, 84 ascending-orbit Sentinel-1A SAR images from 2015 to 2019 are collected. In addition, using SBAS-InSAR technology, the rate and time-series results of surface deformation of the landslide area in Jiangdingya during this period are extracted, and potential landslides are identified. The results show that the early landslide identification method based on SBAS-InSAR technology is highly feasible and is a better tool for identifying potential landslides in large areas.     

Scattering pattern analysis and true-amplitude generalized Radon transform migration for acoustic transversely isotropic media with a vertical axis of symmetry

In multi-parameter ray-based anisotropic migration/inversion, it is essential that we have an understanding of the scattering mechanism corresponding to parameter perturbations. Because the complex nonlinearity in the anisotropic inversion problem is intractable, the construction of true-amplitude linearized migration/inversion procedures is needed and important. By using the acoustic medium assumption for transversely isotropic media with a vertical axis of symmetry and representing the anisotropy with P-wave normal moveout velocity, Thomsen parameter δ and anelliptic parameter η, we formalize the linearized inverse scattering problem for three-dimensional pseudo-acoustic equations. Deploying the single-scattering approximation and an elliptically anisotropic background introduces a new linear integral operator that connects the discontinuous perturbation parameters with the multi-shot/multi-offset P-wave scattered data. We further apply the high-frequency asymptotic Green's function and its derivatives to the integral operator, and then the scattering pattern of each perturbation parameter can be explicitly presented. By naturally establishing a connection to generalized Radon transform, the pseudo-inverse of the integral operator can be solved by the generalized Radon transform inversion. In consideration of the structure of this pseudo-inverse operator, the computational implementation is done pointwise by shooting a fan of rays from the target imaging area towards the acquisition system. Results from two-dimensional numerical tests show amplitude-preserving images with high quality.     

应用Sato、Aki模型对比分析内蒙古东北地区尾波Q值

选取2016年3月—2019年6月内蒙古地震监测台网记录的925条内蒙古东北部及邻近地区地震数据,从中挑选133次M_L≥2.0且记录清晰、信噪比较高的地震事件,利用Sato模型、Aki模型,分别计算该区域地震尾波平均Q值,并拟合得到Q值对频率的依赖关系,其中：(1)Sato模型：Q_C(f)=(64.11±29.15)f~((0.8914±0.0772));(2)Aki模型：Q_C(f)=(258.4±65)f~((0.6815±0.1435))。结果表明,利用2种模型计算的该区域地震尾波Q值分布具有一致性,且Q值与依赖指数η成反比关系,分析认为,尾波Q值高低分布与地震活动性及地质构造有关。     

Characteristics of the modern pollen assemblages from different vegetation zones in Northeast China: Implications for pollen-based climate reconstruction

Northeast China is an essential area for studying the strength of East Asian Summer Monsoon(EASM), due to its northernmost location in EASM domain. However, the lack of sufficient modern pollen data in this region hinders an effective interpretation of fossil pollen records and quantitative vegetation/climate reconstructions. Here, 44 surface pollen samples from forest, steppe, and meadow were used to explore pollen-vegetation-climate relationships. Cluster analysis, species indicator analysis, and principal components analysis, were used to identify the discontinuous and continuous trends in pollen dataset. In addition, correlation analysis and boosted regression trees were used to investigate primary explanatory variables, while coinertia analysis and redundancy analysis to examine pollen-vegetation and pollen-climate correlations respectively. Our results show that:(1) vegetation can be well represented by surface pollen assemblages, i.e. forest is characterized by a high proportion of tree pollen(70%) dominated by Betula(40%) along with Alnus, Larix, and Pinus, whereas Steppe by herb pollen(80%),dominated by Artemisia, Chenopodiaceae;(2) significant correlations exist between pollen assemblages and mean annual temperature and then mean annual precipitation;(3) pollen ratios of Artemisia/Chenopodiaceae and arboreal/non-arboreal can respectively be used as good indicators of humidity and temperature in Northeast China.     

Adsorption characteristics of copper ion on nanoporous silica

Adsorption by nanoporous media is critically involved in many fundamental geological and geochemical processes including chemical weathering,element migration and enrichment,environmental pollution,etc.Yet,the adsorption behavior of metal ions on nanoporous materials has not been systematically investigated.In this study,MCM-41 material with a monodisperse pore size(4.4 nm)and a large BET specific surface area(839 m^2/g)was hydrothermally prepared and used as a model silica adsorbent to study the adsorption characteristics of Cu^2+as a representative metal ion.The Cu^2+adsorption capacity was found to increase with increasing suspension pH in the range from 3 to 5 and to decrease in the presence of NaNO3.At 25℃,pH=5,and a solid-to-liquid ratio of 5 g/L,the adsorption capacity was determined to be 0.29 mg/g,which can be converted to a dimensionless partition coefficient of 45,indicating a strong enriching effect of nanoporous silica.The adsorption isotherm and kinetic data were fitted to several commonly used thermodynamic,kinetic,and diffusion models.The adsorption mechanism was also studied by Fourier transform infrared spectroscopy,X-ray photoelectron spectroscopy and synchrotron-based X-ray absorption spectroscopy.The results suggest that Cu2+ion adsorption is an entropy-driven endothermal process,possibly involving both outer-sphere and inner-sphere complexes.     

地震计保温效能分析

为内蒙古自治区大沁塔拉地震台地震计安装保温罩,利用台基噪声计算软件,计算保温前后地震观测数据PSD概率密度函数,分析保温罩对地震计的效能,结果发现,保温罩安装后,地震计温度变化平稳,地震观测数据质量提高。     

纳米气泡改性矿物颗粒的湖泊沉积物-水界面增氧效果实验研究

季节性缺氧导致夏季沉积物内源磷强烈释放,加剧水体富营养化,是我国西南地区深水湖泊（水库）面临的重要挑战.有效增加夏季缺氧期深水沉积物-水界面的含氧量,是减少内源磷释放的关键.现有的深水增氧技术由于缺乏对沉积物-水界面增氧的针对性,因此治理效果有限.近年来,纳米气泡已被证实具有的稳定性好、氧传质速率高和环境风险低等优点,为新型深水增氧技术研发提供了巨大潜力.本文以天然矿物材料白云母、绢云母、硅藻土和沸石为基底,负载纳米气泡,研发纳米气泡改性矿物颗粒技术,开展湖泊沉积物-水界面增氧模拟实验研究,运用平面光电极技术评估其界面增氧效果.结果表明,纳米气泡改性矿物颗粒对沉积物-水界面具有比较明显的增氧效果.其中,改性白云母、绢云母和沸石的界面持续增氧时间可达7天以上,增氧后的界面最大溶解氧（DO）浓度达4.40 mg/L,而改性硅藻土不具有增氧能力.其次,矿物粒度对改性颗粒的增氧效果有一定影响：粒度越细,界面的最大增氧浓度越高,且持续增氧时间越长.纳米气泡改性矿物颗粒技术有望成为夏季缺氧期深水沉积物-水界面精准增氧和内源污染控制的有效技术手段.     

测震井下观测压制背景噪声特征分析

利用赤峰台井下和山洞观测、二连浩特台井下和地表观测测震数据,通过计算其加速度PSD值和相应的PDF值及1~20 Hz频段RMS值,研究井下观测压制测震台站背景噪声的特征。结果表明,在大于2 Hz频段,井下观测相比于山洞和地表观测有显著的压制背景噪声特征,尤其在大于9 Hz频段压制背景噪声特征突出;在16 s~2 Hz频段,井下、山洞、地表观测测震台站背景噪声水平一致性较高,井下观测在该频段不能压制背景噪声;在低于16 s频段,井下观测相比于山洞和地表观测有一定的压制背景噪声特征。通过井下观测可有效降低测震台站背景噪声水平,从而提高观测数据质量。     

城市环境下BDS+GPS RTK+INS紧组合算法性能分析

城市环境下运动载体接收的GNSS信号会被频繁地干扰和遮挡,GNSS RTK独立工作模式难以连续且可靠地固定模糊度以满足厘米级高精度定位需求。为此,本文设计了一套基于集中式卡尔曼滤波的BDS+GPS RTK紧组合算法,给出了其动力学模型、观测模型和算法架构流程。通过城市环境下的实际车载测试,对比分析了BDS、GPS、BDS+GPS 3种模式下RTK及RTK+INS紧组合的定位性能。试验结果表明,BDS+GPS双系统大大增加了可见卫星数,提高了城市环境下GNSS动态精密定位的可用性和精度;相对于GNSS RTK,紧组合极大地提高了精密定位的可靠性和可用性。     

冰川和常年积雪常态化地理国情监测开展模式初探

应“十三五”开展常态化地理国情监测之需求,以冰川和常年积雪为监测对象,对冰雪常态化地理国情监测的开展模式进行了初步探索。主要内容有：冰雪监测内容、监测周期和监测方法,冰雪统计分析与评价。对于冰雪统计分析与评价,主要结合相关行业需求,重点在于指标构建。